episode stringlengths 45 100 | text stringlengths 1 528 | timestamp_link stringlengths 56 56 |
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Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | because there is only one past but there are | https://karpathy.ai/lexicap/0011-large.html#00:51:11.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | many possible futures and so a reinforcement | https://karpathy.ai/lexicap/0011-large.html#00:51:15.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | learning system which is trying to maximize its | https://karpathy.ai/lexicap/0011-large.html#00:51:19.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | future expected reward and doesn't know yet which | https://karpathy.ai/lexicap/0011-large.html#00:51:22.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of these many possible futures should I select | https://karpathy.ai/lexicap/0011-large.html#00:51:26.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | given this one single past is facing problems | https://karpathy.ai/lexicap/0011-large.html#00:51:29.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that the LSTM by itself cannot solve. | https://karpathy.ai/lexicap/0011-large.html#00:51:33.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So the LSTM is good for coming up with a compact | https://karpathy.ai/lexicap/0011-large.html#00:51:36.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | representation of the history and observations | https://karpathy.ai/lexicap/0011-large.html#00:51:40.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and actions so far but now how do you plan in an | https://karpathy.ai/lexicap/0011-large.html#00:51:44.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | efficient and good way among all these, how do | https://karpathy.ai/lexicap/0011-large.html#00:51:49.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | you select one of these many possible action | https://karpathy.ai/lexicap/0011-large.html#00:51:54.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | sequences that a reinforcement learning system | https://karpathy.ai/lexicap/0011-large.html#00:51:57.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | has to consider to maximize reward in this | https://karpathy.ai/lexicap/0011-large.html#00:52:00.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | unknown future? | https://karpathy.ai/lexicap/0011-large.html#00:52:04.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | We have this basic setup where you have one | https://karpathy.ai/lexicap/0011-large.html#00:52:06.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | recurrent network which gets in the video and | https://karpathy.ai/lexicap/0011-large.html#00:52:10.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the speech and whatever and it's executing | https://karpathy.ai/lexicap/0011-large.html#00:52:14.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | actions and it's trying to maximize reward so | https://karpathy.ai/lexicap/0011-large.html#00:52:17.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | there is no teacher who tells it what to do at | https://karpathy.ai/lexicap/0011-large.html#00:52:20.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which point in time. | https://karpathy.ai/lexicap/0011-large.html#00:52:23.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And then there's the other network which is | https://karpathy.ai/lexicap/0011-large.html#00:52:25.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | just predicting what's going to happen if I do | https://karpathy.ai/lexicap/0011-large.html#00:52:29.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that and that and that could be an LSTM network | https://karpathy.ai/lexicap/0011-large.html#00:52:32.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and it learns to look back all the way to make | https://karpathy.ai/lexicap/0011-large.html#00:52:35.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | better predictions of the next time step. | https://karpathy.ai/lexicap/0011-large.html#00:52:38.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So essentially although it's predicting only the | https://karpathy.ai/lexicap/0011-large.html#00:52:41.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | next time step it is motivated to learn to put | https://karpathy.ai/lexicap/0011-large.html#00:52:44.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | into memory something that happened maybe a | https://karpathy.ai/lexicap/0011-large.html#00:52:48.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | million steps ago because it's important to | https://karpathy.ai/lexicap/0011-large.html#00:52:51.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | memorize that if you want to predict that at the | https://karpathy.ai/lexicap/0011-large.html#00:52:54.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | next time step, the next event. | https://karpathy.ai/lexicap/0011-large.html#00:52:57.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Now how can a model of the world like that, a | https://karpathy.ai/lexicap/0011-large.html#00:52:59.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | predictive model of the world be used by the | https://karpathy.ai/lexicap/0011-large.html#00:53:03.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | first guy? | https://karpathy.ai/lexicap/0011-large.html#00:53:06.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Let's call it the controller and the model, the | https://karpathy.ai/lexicap/0011-large.html#00:53:07.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | controller and the model. | https://karpathy.ai/lexicap/0011-large.html#00:53:10.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | How can the model be used by the controller to | https://karpathy.ai/lexicap/0011-large.html#00:53:12.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | efficiently select among these many possible | https://karpathy.ai/lexicap/0011-large.html#00:53:15.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | futures? | https://karpathy.ai/lexicap/0011-large.html#00:53:18.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | The naive way we had about 30 years ago was | https://karpathy.ai/lexicap/0011-large.html#00:53:19.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | let's just use the model of the world as a stand | https://karpathy.ai/lexicap/0011-large.html#00:53:22.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in, as a simulation of the world and millisecond | https://karpathy.ai/lexicap/0011-large.html#00:53:26.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | by millisecond we plan the future and that means | https://karpathy.ai/lexicap/0011-large.html#00:53:30.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | we have to roll it out really in detail and it | https://karpathy.ai/lexicap/0011-large.html#00:53:33.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | will work only if the model is really good and | https://karpathy.ai/lexicap/0011-large.html#00:53:36.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | it will still be inefficient because we have to | https://karpathy.ai/lexicap/0011-large.html#00:53:39.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | look at all these possible futures and there are | https://karpathy.ai/lexicap/0011-large.html#00:53:42.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | so many of them. | https://karpathy.ai/lexicap/0011-large.html#00:53:45.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So instead what we do now since 2015 in our CM | https://karpathy.ai/lexicap/0011-large.html#00:53:46.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | systems, controller model systems, we give the | https://karpathy.ai/lexicap/0011-large.html#00:53:49.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | controller the opportunity to learn by itself how | https://karpathy.ai/lexicap/0011-large.html#00:53:52.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to use the potentially relevant parts of the M, | https://karpathy.ai/lexicap/0011-large.html#00:53:56.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of the model network to solve new problems more | https://karpathy.ai/lexicap/0011-large.html#00:54:00.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | quickly. | https://karpathy.ai/lexicap/0011-large.html#00:54:04.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And if it wants to, it can learn to ignore the M | https://karpathy.ai/lexicap/0011-large.html#00:54:05.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and sometimes it's a good idea to ignore the M | https://karpathy.ai/lexicap/0011-large.html#00:54:09.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | because it's really bad, it's a bad predictor in | https://karpathy.ai/lexicap/0011-large.html#00:54:12.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | this particular situation of life where the | https://karpathy.ai/lexicap/0011-large.html#00:54:15.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | controller is currently trying to maximize reward. | https://karpathy.ai/lexicap/0011-large.html#00:54:19.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | However, it can also learn to address and exploit | https://karpathy.ai/lexicap/0011-large.html#00:54:22.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | some of the subprograms that came about in the | https://karpathy.ai/lexicap/0011-large.html#00:54:26.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | model network through compressing the data by | https://karpathy.ai/lexicap/0011-large.html#00:54:31.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | predicting it. | https://karpathy.ai/lexicap/0011-large.html#00:54:35.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So it now has an opportunity to reuse that code, | https://karpathy.ai/lexicap/0011-large.html#00:54:36.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the algorithmic information in the model network | https://karpathy.ai/lexicap/0011-large.html#00:54:40.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to reduce its own search space such that it can | https://karpathy.ai/lexicap/0011-large.html#00:54:44.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | solve a new problem more quickly than without the | https://karpathy.ai/lexicap/0011-large.html#00:54:49.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | model. | https://karpathy.ai/lexicap/0011-large.html#00:54:52.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Compression. | https://karpathy.ai/lexicap/0011-large.html#00:54:53.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So you're ultimately optimistic and excited about | https://karpathy.ai/lexicap/0011-large.html#00:54:54.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the power of RL, of reinforcement learning in the | https://karpathy.ai/lexicap/0011-large.html#00:54:59.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | context of real systems. | https://karpathy.ai/lexicap/0011-large.html#00:55:03.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Absolutely, yeah. | https://karpathy.ai/lexicap/0011-large.html#00:55:05.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So you see RL as a potential having a huge impact | https://karpathy.ai/lexicap/0011-large.html#00:55:06.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | beyond just sort of the M part is often developed on | https://karpathy.ai/lexicap/0011-large.html#00:55:11.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | supervised learning methods. | https://karpathy.ai/lexicap/0011-large.html#00:55:16.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | You see RL as a for problems of self driving cars | https://karpathy.ai/lexicap/0011-large.html#00:55:19.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | or any kind of applied cyber robotics. | https://karpathy.ai/lexicap/0011-large.html#00:55:25.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | That's the correct interesting direction for | https://karpathy.ai/lexicap/0011-large.html#00:55:28.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | research in your view? | https://karpathy.ai/lexicap/0011-large.html#00:55:32.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | I do think so. | https://karpathy.ai/lexicap/0011-large.html#00:55:34.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | We have a company called Nasence which has applied | https://karpathy.ai/lexicap/0011-large.html#00:55:35.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | reinforcement learning to little Audis which learn | https://karpathy.ai/lexicap/0011-large.html#00:55:40.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to park without a teacher. | https://karpathy.ai/lexicap/0011-large.html#00:55:45.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | The same principles were used of course. | https://karpathy.ai/lexicap/0011-large.html#00:55:47.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So these little Audis, they are small, maybe like | https://karpathy.ai/lexicap/0011-large.html#00:55:50.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that, so much smaller than the real Audis. | https://karpathy.ai/lexicap/0011-large.html#00:55:54.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | But they have all the sensors that you find in the | https://karpathy.ai/lexicap/0011-large.html#00:55:57.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | real Audis. | https://karpathy.ai/lexicap/0011-large.html#00:56:00.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | You find the cameras, the LIDAR sensors. | https://karpathy.ai/lexicap/0011-large.html#00:56:01.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | They go up to 120 kilometers an hour if they want | https://karpathy.ai/lexicap/0011-large.html#00:56:03.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to. | https://karpathy.ai/lexicap/0011-large.html#00:56:08.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And they have pain sensors basically and they don't | https://karpathy.ai/lexicap/0011-large.html#00:56:09.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | want to bump against obstacles and other Audis and | https://karpathy.ai/lexicap/0011-large.html#00:56:13.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | so they must learn like little babies to park. | https://karpathy.ai/lexicap/0011-large.html#00:56:17.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Take the raw vision input and translate that into | https://karpathy.ai/lexicap/0011-large.html#00:56:21.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | actions that lead to successful parking behavior | https://karpathy.ai/lexicap/0011-large.html#00:56:25.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which is a rewarding thing. | https://karpathy.ai/lexicap/0011-large.html#00:56:28.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And yes, they learn that. | https://karpathy.ai/lexicap/0011-large.html#00:56:30.040 |
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